Duality Platform - Fully Homomorphic Encryption (FHE) is a cryptographic computation platform that enables performing computations on encrypted data without requiring decryption or sharing of secret keys. The platform supports a range of computation types over encrypted data, including: - Encrypted queries - Analytics - Machine learning model training and inference Key capabilities include running thousands of encrypted queries per second on lightweight machines, built-in data management tools for schema alignment, data transformation, and pre-processing for multiparty collaboration. The platform combines FHE with Multi-Party Computation (MPC) to support secure computation scenarios involving multiple parties, such as collaborative model training across organizations. Supported ML models include linear regression, logistic regression, and XGBoost. Built-in analytics computations are also available. Security features include post-quantum protections against quantum computing attacks, along with governance controls that let data owners define who accesses data, which computations are permitted, and at what frequency. Use cases supported by the platform include: - Cross-border data analysis - Medical multi-center research studies - Data enrichment and analysis - Secure cloud migration of AI workloads - Third-party analytics on sensitive data - Co-marketing and personalization with partners - Data monetization while maintaining privacy and regulatory compliance